{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# User's Guide, Chapter 43: Searching in and Among Scores"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "lamb1 = corpus.parse('palestrina/agnus_I_01', forceSource=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 369,
       "width": 748
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "lamb1.measures(0, 7).show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Nice Stretto going from the beginning!  Okay, let's search for some things...\n",
    "\n",
    "Let's find all instances of three whole notes in a row..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 107, 108, 189, 216, 217, 243, 251, 302, 303, 324]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "justTheNotes = lamb1.recurse().notes\n",
    "searchList = [note.Note(type='whole'), note.Note(type='whole'), note.Note(type='whole')]\n",
    "\n",
    "search.rhythmicSearch(justTheNotes,\n",
    "                      searchList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<music21.note.Note C>"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "secondEntry = justTheNotes[107]\n",
    "secondEntry"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<music21.stream.Part spine_2>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "secondEntry.getContextByClass('Part')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "secondEntry.measureNumber"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1.0"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "secondEntry.beat"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "lamb2 = lamb1.stripTies(retainContainers=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[0, 102, 207, 208, 232, 240, 241, 287, 288, 298]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "justTheNotes = lamb2.recurse().notes\n",
    "search.rhythmicSearch(justTheNotes,\n",
    "                      searchList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "thirdEntry = justTheNotes[207]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "p = thirdEntry.getContextByClass('Part')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<music21.instrument.Tenor 'Tenor'>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "p.recurse().getElementsByClass('Instrument')[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "entryPoints = search.rhythmicSearch(justTheNotes, searchList)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<music21.note.Note F> 4 3.0 Soprano\n",
      "<music21.note.Note C> 1 1.0 Alto\n",
      "<music21.note.Note B-> 5 1.0 Tenor\n",
      "<music21.note.Note B-> 5 3.0 Tenor\n",
      "<music21.note.Note G> 12 3.0 Tenor\n",
      "<music21.note.Note B-> 18 1.0 Tenor\n",
      "<music21.note.Note C> 18 3.0 Tenor\n",
      "<music21.note.Note F> 1 3.0 Bass\n",
      "<music21.note.Note F> 2 1.0 Bass\n",
      "<music21.note.Note G> 5 3.0 Bass\n"
     ]
    }
   ],
   "source": [
    "for notePosition in entryPoints:\n",
    "    startingNote = justTheNotes[notePosition]\n",
    "    startingMeasure = startingNote.measureNumber\n",
    "    startingBeat = startingNote.beat\n",
    "    startingPart = startingNote.getContextByClass('Part')\n",
    "    startingInstrument = startingPart.recurse().getElementsByClass('Instrument')[0]\n",
    "    print(startingNote, startingMeasure, startingBeat, startingInstrument)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Searching for <music21.note.Note D>\n",
      "Searching for <music21.note.Note E>\n",
      "Searching for <music21.note.Note F>\n",
      "<music21.note.Note F> 4 3.0 Soprano\n",
      "<music21.note.Note F> 1 3.0 Bass\n",
      "Searching for <music21.note.Note G>\n",
      "Searching for <music21.note.Note A>\n",
      "Searching for <music21.note.Note B->\n",
      "<music21.note.Note B-> 5 1.0 Tenor\n",
      "Searching for <music21.note.Note C>\n",
      "<music21.note.Note C> 1 1.0 Alto\n",
      "Searching for <music21.note.Note D>\n",
      "Searching for <music21.note.Note E>\n",
      "Searching for <music21.note.Note F>\n",
      "<music21.note.Note F> 4 3.0 Soprano\n",
      "<music21.note.Note F> 1 3.0 Bass\n",
      "Searching for <music21.note.Note G>\n",
      "Searching for <music21.note.Note A>\n"
     ]
    }
   ],
   "source": [
    "searchStream2 = stream.Stream([key.KeySignature(-1),\n",
    "                               note.Note('C', type='whole'), \n",
    "                               note.Note('C', type='whole'), \n",
    "                               note.Note('D', type='whole')])\n",
    "justTheNotes = lamb2.recurse().notes\n",
    "\n",
    "transposeInterval = interval.GenericInterval(2)\n",
    "\n",
    "for unused in range(12): # unison to seventh\n",
    "    searchStream2.transpose(transposeInterval, inPlace=True)\n",
    "    # here is the compact way of doing the same thing:\n",
    "    # useSearchList = [n.transpose(transposeInterval) for n in searchList2]\n",
    "    entryPoints = search.noteNameRhythmicSearch(justTheNotes, searchStream2.notes)\n",
    "    print('Searching for ' + str(searchStream2.notes[0]))\n",
    "    for notePosition in entryPoints:\n",
    "        startingNote = justTheNotes[notePosition]\n",
    "        startingMeasure = startingNote.measureNumber\n",
    "        startingBeat = startingNote.beat\n",
    "        startingPart = startingNote.getContextByClass('Part')\n",
    "        startingInstrument = startingPart.recurse().getElementsByClass('Instrument')[0]\n",
    "        print(startingNote, startingMeasure, startingBeat, startingInstrument)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Advanced Topics: Writing your own algorithm\n",
    "\n",
    "Let's say that you want to compare notes by pitchClass and not by name, we don't have an algorithm for that, but it's pretty easy to write your own and use `search.streamSearchBase` to implement it.\n",
    "\n",
    "The algorithm should check to see if two notes have the same pitchClass and return `True` if they do:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "def pitchClassEqual(n1, n2):\n",
    "    if n1.pitch.pitchClass == n2.pitch.pitchClass:\n",
    "        return True\n",
    "    else:\n",
    "        return False"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we can run a search on something with this algorithm:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[1, 5]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s = converter.parse('tinyNotation: 5/4 b4 c d# e f b# e- f-').recurse().notes\n",
    "searchList = [note.Note('C'), note.Note('E-'), note.Note('E')]\n",
    "\n",
    "search.streamSearchBase(s, searchList, algorithm=pitchClassEqual)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "But if you really want to search on pitch classes, see `search.serial`"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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